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• MipSLAM introduces an Elliptical Adaptive Anti-aliasing (EAA) algorithm that approximates Gaussian contributions via geometry-aware numerical integration to avoid costly analytic computation.method 90%
• MipSLAM presents a Spectral-Aware Pose Graph Optimization (SA-PGO) module that reformulates trajectory estimation in the frequency domain to suppress high-frequency noise and drift.method 90%
• MipSLAM introduces a novel local frequency-domain perceptual loss to enhance fine-grained geometric detail recovery.method 90%
• MipSLAM achieves state-of-the-art rendering quality and localization accuracy on Replica and TUM datasets.result 85%
• MipSLAM maintains real-time capability.technical 85%
• Existing 3DGS-based SLAM systems often suffer from aliasing artifacts and trajectory drift due to inadequate filtering and purely spatial optimization.limitation 80%
• MipSLAM is a frequency-aware 3D Gaussian Splatting (3DGS) SLAM framework capable of high-fidelity anti-aliased novel view synthesis.technical 90%
• MipSLAM provides robust pose estimation under varying camera configurations.technical 85%

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